Adaptive dynamic programming for optimal control of van der Pol oscillator

Adaptive dynamic programming has been considered as one of the effective methods to solve the optimal control of nonlinear systems and it has lots of applications in academic research and engineering. Firstly, we formulate the optimal control of van der Pol oscillator with the least energy consumpti...

Full description

Saved in:

Bibliographic Details
Published in:	Chinese Control and Decision Conference pp. 1537 - 1542
Main Authors:	Ji, Zheng, Lou, Xuyang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2018
Subjects:	Adaptive dynamic programming Adaptive systems Cost function Dynamic programming Mathematical model moving-data window recursive least-square method neural network Nonlinear systems Optimal control Oscillators van der Pol oscillator
ISSN:	1948-9447
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	Adaptive dynamic programming has been considered as one of the effective methods to solve the optimal control of nonlinear systems and it has lots of applications in academic research and engineering. Firstly, we formulate the optimal control of van der Pol oscillator with the least energy consumption. Then, using an adaptive dynamic programming method to dynamically solve the approximate solution of this optimal control problem. A simplified neural network model is used to approximate the cost function. In addition, an admissible initial control policy for van der Pol oscillator is designed and Lyapunov stability criterion is established. On the basis of predecessors, we present a moving-data window recursive least-square method, which can overcome the computational difficulties and the problem that the parameter of oscillator maybe unknown and various slowly. Finally, the implementation steps of the method are proposed, and the feasibility is illustrated.
ISSN:	1948-9447
DOI:	10.1109/CCDC.2018.8407371